Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12654DD234259392A0037C3E520A95B3BD1AADD4BFAE709414EDCD7F727FACA0741B259 |
|
CONTENT
ssdeep
|
1536:O1a6ZkcfvO9tMbXlOJi55R+Ovb0DybJ0OcoMAH8ArXvUd0gAK6Fyg0AAm0/Kazp3:suMw9DuwoMa9kNAAmSKKGI1tt |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c2506cbe96d696b8 |
|
VISUAL
aHash
|
00003c7e7efff1ff |
|
VISUAL
dHash
|
ac93ccd0cccc23cc |
|
VISUAL
wHash
|
00003c7e7effb1c3 |
|
VISUAL
colorHash
|
06010000e00 |
|
VISUAL
cropResistant
|
c8c8d4cccc23420c,848bf3cbc8c8dcd4,4561417971690141,00454d7171414541 |
Victim enters username and password into fake login form. Credentials are captured via JavaScript and exfiltrated to attacker's server in real-time.
Malicious code is obfuscated using 37 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)